16 research outputs found
Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction
State-of-the-art methods for large-scale 3D reconstruction from RGB-D sensors
usually reduce drift in camera tracking by globally optimizing the estimated
camera poses in real-time without simultaneously updating the reconstructed
surface on pose changes. We propose an efficient on-the-fly surface correction
method for globally consistent dense 3D reconstruction of large-scale scenes.
Our approach uses a dense Visual RGB-D SLAM system that estimates the camera
motion in real-time on a CPU and refines it in a global pose graph
optimization. Consecutive RGB-D frames are locally fused into keyframes, which
are incorporated into a sparse voxel hashed Signed Distance Field (SDF) on the
GPU. On pose graph updates, the SDF volume is corrected on-the-fly using a
novel keyframe re-integration strategy with reduced GPU-host streaming. We
demonstrate in an extensive quantitative evaluation that our method is up to
93% more runtime efficient compared to the state-of-the-art and requires
significantly less memory, with only negligible loss of surface quality.
Overall, our system requires only a single GPU and allows for real-time surface
correction of large environments.Comment: British Machine Vision Conference (BMVC), London, September 201
Age-Standardized DALY Rates Attributable to Individual Mental, Neurological, and Substance Use Disorders, by Gender, 2010.
<p>Age-Standardized DALY Rates Attributable to Individual Mental, Neurological, and Substance Use Disorders, by Gender, 2010.</p
Absolute DALYs Attributable to Mental, Neurological, and Substance Use Disorders, by Age, 2010.
<p>Absolute DALYs Attributable to Mental, Neurological, and Substance Use Disorders, by Age, 2010.</p
Proportion of Global YLDs and YLLs Attributable to Mental, Neurological, and Substance Use Disorders, 2010.
<p>Proportion of Global YLDs and YLLs Attributable to Mental, Neurological, and Substance Use Disorders, 2010.</p
GBD 2010 Mental, Neurological, and Substance Use Disorders, Estimated Disability Weights, and Prevalent Cases.
<p>GBD 2010 Mental, Neurological, and Substance Use Disorders, Estimated Disability Weights, and Prevalent Cases.</p
Participant characteristics of the mild-TBI and controls samples.
<p>Participant characteristics of the mild-TBI and controls samples.</p
Mean scores on the outcome measures between the two samples.
<p>Mean scores on the outcome measures between the two samples.</p
Numbers of TBI YLLs in 16 European countries in 2013 by age, sex, and country.
<p>Numbers of TBI YLLs in 16 European countries in 2013 by age, sex, and country.</p
Crude and age-standardized TBI YLL rates per 100,000 persons in 16 European countries in 2013 by age and sex.
<p>Crude and age-standardized TBI YLL rates per 100,000 persons in 16 European countries in 2013 by age and sex.</p